Adam Kaplan

Hi! I'm Adam Kaplan, a passionate software engineer looking to build data-driven software at mission-driven companies.

As a software engineer at Heila Technologies, I work on data pipelines, optimization algorithms, and electrical microgrid simulation tools. Before becoming a software engineer, I got my Ph.D. from MIT in Statistics and Political Science (joint), working on causal inference with time-series and Bayesian estimators for new experimental designs. On the side, I also dabble in web development, where I created a website which compiled LaTeX code quickly and locally using WASM and FaaS.

At the end of the day, all I want to do is help people through my software and give back by teaching what I learn in the process.

Currently I am working on:

Leading the data engineering and microgrid simulation efforts at Heila.
Extending an experimental design developed to estimate the effect of media source choice on polarization to account for confounding variables using Bayesian modeling (with Teppei Yamamoto).
Maintaining the LaTeX Table Viewer web application, which allows one to quickly compile LaTeX code locally, without having to have LaTeX installed.

Outside of work, you will catch me climbing rocks, baking (and eating) tons of bread, as well as exploring the homes of bread's yeasted cousin, beer, in the New England area.